7-6-2018 1 Smart Multi-energydistrict @DE NIEUWE DOKKEN EU Funding & matchmaking for Smart Energy Systems - 07/06/2017 A long road to realization 2012 May 2019 2014 Horizon2020 (2017-2021) Interreg 2seas (2017-2020) NEREUS Operational
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Smart Multi-energydistrict @DE NIEUWE DOKKENEU Funding & matchmaking for Smart Energy Systems - 07/06/2017
A long road to realization
2012
May 2019
2014Horizon2020 (2017-2021)
Interreg 2seas (2017-2020) NEREUS
Operational
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3
DuCoop cvba>400 wooneenheden+ stadscomplex (scholen, sportinfrastructuur etc.)
2024 2019 2021
>400 Housing units+ City complex (schools, sports infrastructure etc.)
3. Natural environment
8. Business & Employment
1. Spatial planning & functionality
2. Transport & Mobility
4. Water management
5. Resource management
6. Energy
7. Health, Quality of Life & Accessibility
LIVI
NG
TO
MO
RRO
W
- 70%
13%
47 kWh/m²
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ZERO WASTEWATER WITH RECOVERY OF ENERGY & NUTRIENTS
2500 MWh wasteheat
30.000 m³ water
1.500kg green fertilizer
2/3 process heatChristeyns
1/3 fromwastewater
ZAWENT UITGELEGD
ZAWENT UITGELEGD
KITCHEN WASTE
RESIDENTIAL WASTEWATER
VACUUM TOILETS
GREY WATER
AEROBIC SLUDGE
BLACK WATER
ANAEROBIC DIGESTOR (UASB)
STRUVITEBIOGAS
ENERGY GREEN AREAS
ANAEROBICSLUDGE
INCINERATION
N- recovery
SHOWERS, WASHING MACHINES
AEROBIC WATER TREATMENT (aMBR)
EFFLUENT WATER
REVERSE OSMOSE
SOAPFACTORY CHRISTEYNSWASTEHEAT
HEATPUMP
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BUSINESS MODEL INNOVATION
Sustainability cooperation DuCoop
Energy Water
Waste Mobility
4de gen. Heat network(waste heat Christeyns)rooftop PVSmart Grid appliances
Local sanitationReuse as process water (Christeyns)
Source separatione.g. vacuum systemsWaste collectionWater treatmentNutrient recovery
Electric bikesElectric sharing cars& charging stations
Water
WP.0 Projectmanagement
WP.1 Design of a smart multi-energydistrict
WP.2 Data analytics
WP.3 Demand side management
WP.4 Valorisation models
Smart Multi-energy District
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Smart Multi-energy District: Objectives
HEAT
- Match peak consumption withproduction of wasteheat
- Optimal deployment of heat pump (valorization of RES)
ELECTRICITY
- Balancing of DuCoop portfolio (storage, demand side management)
- Limiting congestion of localDSO-grid
- Grid services (flexibility)
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Smart Multi-energy District• Energy production
• Solar PV• Biogas conversion
• Energy storage• Batteries
• Energy smart grid solutions• Match demand and
consumption• Heat and electricity
• Mobility• Electric charging stations
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Vacuumsysteem (35kW)
ZAWENT (100kW)
Pompen warmtenet (35kW)
Ventilatie-units (25kW)
Laadpalen (22kW x 20)
Voeselvermalers (5 kW)
Circuit breakersEAN injectieEAN afname
DC storage 53kW, 210 kWh
Zuidveld, HSNoordveld, HS
Perspompen GW (2,4 kW)
Warmtepomp (50 kW)
PV-panelen, 200kW
Manageable load DuCoop
DuCoopHoofdcabine (800kVa)
Verd
eelk
ast
Eandis cabine
District Platform Farys SCADA
ENERGY MANAGEMENT
SYSTEM
Water treatment (Pantarein)
Vacuum system
Elektrische laadpalen
District heating
PV
Storage
End-users
3th parties
Smart meters
Aggregator, ESCO, DSO
Monitoring, feedback & control
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Ambitions as Living Lab
Dat
a co
llect
ion
Real-time collection of end-user consumption and profile (water, electricity, heat, mobility,peak-demand for each, time-based consumption profile, energy awareness profile)
Real-time collection of production, storage (fix/mobile) and consumption data energy services Link data collection to accounting/ smart building and district management system Anonymise data for benchmarking, feedback loops and gamification towards consumers and
public instances (city dashboard, environmental services, universities) Forecasting of production and consumption, based on weather forecast and consumption
history Forecasting purchasing cost energy (day ahead electricity market, in relation to future cost
breakdown models based on capacity rather than volume)
Ambitions as Living Lab
Dat
a co
llect
ion
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Ambitions as Living Lab
Dat
a pr
oces
sing
Building/district management system displaying life peak consumption and historical data of all components of the smart grid
Algorithms to optimize alignment of production, consumption and forecasts. Examples can be:o Delay consumption in forecast of increasing PV-productiono Boost temperature district heating grid anticipating peak demando Calculation of highest financial return of assigning PV-production (internal consumption –
HP – storage for later use – EV charging point ?) o Modelling characteristics of heat pumps to optimize the COP
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Ambitions as Living Lab
Virt
ual p
rivat
e gr
idap
plic
atio
ns Peak shaving through demand respons (postponed or anticipated consumption, storage) Flexibility services (potentially in collaboration with other smart districts): battery storage or
injection, offering power that can be uncoupled for a period of time (HP, pumping systems, energy for water sanitation, …)
Coordinate with other living labs to streamline requests on exceptions on regulation (VREG/Eandis)
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Lieven DemolderClean Energy Innovative Projects CVBAPhone: +32 (0)498 72 62 [email protected]
www.DuCoop.be